Senior Data Engineer
Tasks
- Build and operate data warehouse workloads
- Build and operate lakehouse workloads
- Collaborate with product and data teams in Agile sprints
- Design and build batch data pipelines
- Develop Python data services and REST APIs
- Implement data reconciliation and parity checks
- Ingest validate and transform large datasets
- Migrate pipelines from warehouse to lakehouse
- Model dimensional reference and temporal data
- Monitor production pipelines
- Optimize query performance and cost
- Orchestrate pipelines with AirFlow
- Perform incident triage and root cause analysis
- Tune and debug analytical SQL queries
Perks/Benefits
Skills/Tech-stack
AWS IAM | Amazon EMR | Amazon Redshift | Amazon S3 | Apache Airflow | Apache Spark | Backfills | CI/CD | Code review | Data Modeling | Data Reconciliation | Databricks | Delta Lake | Dimensional Modeling | Docker | ETL | FastAPI | Flask | GitHub Actions | Grafana | Integration Testing | Jenkins | OpenSearch | Postgres | Python | REST APIs | Reference Data | SQL | Schema drift | Sentry | Slowly Changing Dimensions | Temporal Data | Unit Testing
Education
N/A
Roles
Regions
Countries
States
Cities
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